Age Less than 40 More than 40 Support: For 223 Against 272 248 247 495 c. Step 2: Test statistics and degree of freedom Test statistics: Degree of Freedom: d. Step 3: Find critical value y". (textbook page. 480) Decision Rule: Iff cee> , reject null

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b. Step 1-1: Construct expected frequency f
(RM CM)
Age
Less than 40
More than 40
Support:
For
223
Against
272
248
247
495
c. Step 2: Test statistics and degree of freedom
Test statistics:
Degree of Freedom:
d. Step 3: Find critical value yat (textbook page. 480)
Decision Rule: If y>
,reject null
Step 4: Find obtained value y
(RM CM)
Cell
f.
f. - J.
C- が
Transcribed Image Text:n- Protected View - Saved to this PC - O Search Review View Help b. Step 1-1: Construct expected frequency f (RM CM) Age Less than 40 More than 40 Support: For 223 Against 272 248 247 495 c. Step 2: Test statistics and degree of freedom Test statistics: Degree of Freedom: d. Step 3: Find critical value yat (textbook page. 480) Decision Rule: If y> ,reject null Step 4: Find obtained value y (RM CM) Cell f. f. - J. C- が
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12. The city council is considering a law that would ban smoking in all public
facilities. A sample has been selected from the community and tested for support
of the ordinance. Is there a statistically significant relationship between age and
support for the anti-smoking law? Use the five step model as a guide and write a
sentence or two interpreting your results.
Age
More than 40
78
169
247
Less than 40
Support:
For
Against
145
103
248
223
272
495
A. Use probabilities to determine if these two variable are independent or
dependent
P(Less than 40) =
P(Less than 40 |For) =
P (Less than 40 | Against) =
Are age and support for the anti-smoking law independent? (Yes = independent / No
= not independent)
B. Conduct a hypothesis test using an alpha of .05 that these variables are i
ndependent versus the alternative that they are related.
a. Step 1: State Hypotheses
H:
H:
b. Step 1-1: Construct expected frequency f.=
(RM CM)
Transcribed Image Text:ings Review View Help 12. The city council is considering a law that would ban smoking in all public facilities. A sample has been selected from the community and tested for support of the ordinance. Is there a statistically significant relationship between age and support for the anti-smoking law? Use the five step model as a guide and write a sentence or two interpreting your results. Age More than 40 78 169 247 Less than 40 Support: For Against 145 103 248 223 272 495 A. Use probabilities to determine if these two variable are independent or dependent P(Less than 40) = P(Less than 40 |For) = P (Less than 40 | Against) = Are age and support for the anti-smoking law independent? (Yes = independent / No = not independent) B. Conduct a hypothesis test using an alpha of .05 that these variables are i ndependent versus the alternative that they are related. a. Step 1: State Hypotheses H: H: b. Step 1-1: Construct expected frequency f.= (RM CM)
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